Data
road-safety

road-safety

active ARFF Publicly available Visibility: public Uploaded 18-06-2022 by Leo Grin
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Dataset used in the tabular data benchmark https://github.com/LeoGrin/tabular-benchmark, transformed in the same way. This dataset belongs to the "classification on categorical and numerical features" benchmark. Original description: Data reported to the police about the circumstances of personal injury road accidents in Great Britain from 1979, and the maker and model information of vehicles involved in the respective accident. This version includes data up to 2015.

33 features

Sex_of_Driver (target)string2 unique values
0 missing
Vehicle_Reference_df_resnumeric32 unique values
0 missing
Vehicle_Typenumeric15 unique values
0 missing
Vehicle_Manoeuvrenumeric18 unique values
0 missing
Vehicle_Location-Restricted_Lanenumeric10 unique values
0 missing
Hit_Object_in_Carriagewaynumeric12 unique values
0 missing
Hit_Object_off_Carriagewaynumeric12 unique values
0 missing
Was_Vehicle_Left_Hand_Drive?nominal2 unique values
0 missing
Age_of_Drivernumeric84 unique values
0 missing
Age_Band_of_Drivernumeric9 unique values
0 missing
Engine_Capacity_(CC)numeric873 unique values
0 missing
Propulsion_Codenumeric8 unique values
0 missing
Age_of_Vehiclenumeric56 unique values
0 missing
Location_Easting_OSGRnumeric44941 unique values
0 missing
Location_Northing_OSGRnumeric46504 unique values
0 missing
Longitudenumeric60608 unique values
0 missing
Latitudenumeric60310 unique values
0 missing
Police_Forcenumeric44 unique values
0 missing
Number_of_Vehiclesnumeric14 unique values
0 missing
Number_of_Casualtiesnumeric18 unique values
0 missing
Local_Authority_(District)numeric324 unique values
0 missing
1st_Road_Numbernumeric3045 unique values
0 missing
2nd_Road_Numbernumeric2920 unique values
0 missing
Urban_or_Rural_Areanominal2 unique values
0 missing
Vehicle_Reference_dfnumeric23 unique values
0 missing
Casualty_Referencenumeric35 unique values
0 missing
Sex_of_Casualtynominal2 unique values
0 missing
Age_of_Casualtynumeric100 unique values
0 missing
Age_Band_of_Casualtynumeric11 unique values
0 missing
Pedestrian_Locationnumeric11 unique values
0 missing
Pedestrian_Movementnumeric10 unique values
0 missing
Casualty_Typenumeric21 unique values
0 missing
Casualty_IMD_Decilenumeric10 unique values
0 missing
Show all 33 features

19 properties

NumberOfInstances
111762
Number of instances (rows) of the dataset.
NumberOfFeatures
33
Number of attributes (columns) of the dataset.
NumberOfClasses
2
Number of distinct values of the target attribute (if it is nominal).
NumberOfMissingValues
0
Number of missing values in the dataset.
NumberOfInstancesWithMissingValues
0
Number of instances with at least one value missing.
NumberOfNumericFeatures
29
Number of numeric attributes.
NumberOfSymbolicFeatures
3
Number of nominal attributes.
NumberOfBinaryFeatures
3
Number of binary attributes.
PercentageOfBinaryFeatures
9.09
Percentage of binary attributes.
PercentageOfInstancesWithMissingValues
0
Percentage of instances having missing values.
AutoCorrelation
1
Average class difference between consecutive instances.
PercentageOfMissingValues
0
Percentage of missing values.
Dimensionality
0
Number of attributes divided by the number of instances.
PercentageOfNumericFeatures
87.88
Percentage of numeric attributes.
MajorityClassPercentage
50
Percentage of instances belonging to the most frequent class.
PercentageOfSymbolicFeatures
9.09
Percentage of nominal attributes.
MajorityClassSize
55881
Number of instances belonging to the most frequent class.
MinorityClassPercentage
50
Percentage of instances belonging to the least frequent class.
MinorityClassSize
55881
Number of instances belonging to the least frequent class.
Show all 19 properties

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